Remove Data Integration Remove Data Lake Remove Data Quality Remove Digital Transformation
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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

This would be straightforward task were it not for the fact that, during the digital-era, there has been an explosion of data – collected and stored everywhere – much of it poorly governed, ill-understood, and irrelevant. Further, data management activities don’t end once the AI model has been developed.

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What is an Information Steward, and Why You Should Care

Grooper

These stewards monitor the input and output of data integrations and workflows to ensure data quality. Their focus is on master data management , data lakes / warehouses, and ensuring the trackability of data using audit trails and metadata. How to Get Started with Information Stewardship.

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Strategically Approaching Graph Technologies

Ontotext

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

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How Data Governance Supports Analytics

Alation

As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. Creating a single view of any data, however, requires the integration of data from disparate sources.